Permalink
Browse files

base

  • Loading branch information...
dima committed Jan 10, 2019
1 parent 01e0988 commit 9012b6276cf429636860534d6fbbd2625e287650
View
@@ -1 +1,70 @@
# 10-knn-classification
# ![](https://ga-dash.s3.amazonaws.com/production/assets/logo-9f88ae6c9c3871690e33280fcf557f33.png) KNN & Classification
> Unit 3: Required
---
## Materials We Provide
| Topic | Description | Link |
| --- | --- | --- |
| Lesson | K-Nearest Neighbors with Scikit-Learn | [Here](./knn_with_sklearn.ipynb) |
| Solution | Solution code for lesson prompts | [Here](./solution-code/knn_with_sklearn-solution.ipynb) |
| Data | 2015 Season Statistics for ~500 NBA Players | [Here](./data/NBA_players_2015.csv) |
| | The Iris Dataset (Flowers) | [Here](./data/iris.data) |
| Practice | Two sample activities to practice KNN | [Here](./practice/) |
| Slides | Sample slide deck for lesson topic (PPTX)| [Here](./slides/) |
> This lesson uses the Iris dataset and the NBA player statistics dataset. The Iris dataset allows students to easily make their own rules-based model and is easy to visualize for KNN. The NBA dataset results in a very nice curve for choosing K.
---
## Learning Objectives
After this lesson, students should be able to:
- Utilize the KNN model on the iris data set.
- Implement scikit-learn's KNN model.
- Assess the fit of a KNN Model using scikit-learn.
---
## Student Requirements
Before this lesson(s), students should already be able to:
- Load, explore, and manipulate data using Pandas
- Create simple visualizations with Matplotlib
- Interpret statistical information from box and scatter plots
- Describe the statistical meaning of an "error"
----
## Lesson Outline
> TOTAL (170 min)
- Learning Objectives (5 min)
- Overview of the Iris Data Set (10 min)
- Terminology
- Exercise: "Human Learning" With Iris Data (60 min)
- Human Learning on the Iris Data Set (10 min)
- K-Nearest Neighbors (KNN) Classification (30 min)
- Using the Train/Test Split Procedure (K=1)
- Tuning a KNN Model (30 min)
- What Happens If We View the Accuracy of our Training Data?
- Training Error Versus Testing Error
- Standardizing Features (15 min)
- Use StandardScaler to Standardize our Data.
- Comparing KNN With Other Models (10 min)
---
## Additional Resources
For more information on this topic, check out the following resources:
- [Data School: Machine Learning With KNN](http://blog.kaggle.com/2015/04/30/scikit-learn-video-4-model-training-and-prediction-with-k-nearest-neighbors/)
- [KNN: Dangerously Simple](https://mathbabe.org/2013/04/04/k-nearest-neighbors-dangerously-simple/)
- [KNN From Scratch](http://machinelearningmastery.com/tutorial-to-implement-k-nearest-neighbors-in-python-from-scratch/)
- [Detailed Intro to KNN](https://saravananthirumuruganathan.wordpress.com/2010/05/17/a-detailed-introduction-to-k-nearest-neighbor-knn-algorithm/)
- [Stanford's Machine Learning Course: KNN](http://cs231n.github.io/classification/#nn)
View
Binary file not shown.
Binary file not shown.
Binary file not shown.
Binary file not shown.
Binary file not shown.
View
Binary file not shown.
View
Binary file not shown.
View
Binary file not shown.
View
Binary file not shown.
View
Binary file not shown.
Binary file not shown.
View
Binary file not shown.
View
Binary file not shown.
View
Binary file not shown.
View
Binary file not shown.
Binary file not shown.
View
Binary file not shown.
View
Binary file not shown.
View
Binary file not shown.
Binary file not shown.
View
Binary file not shown.
View
Binary file not shown.
View
Binary file not shown.
View

Large diffs are not rendered by default.

Oops, something went wrong.
View
@@ -0,0 +1,91 @@
Team,PTS,Rank,TOI,GF,GA,GF60,GA60,GF%,SF,SA,SF60,SA60,SF%,FF,FA,FF60,FA60,FF%,CF,CA,CF60,CA60,CF%,Sh%,Sv%,PDO,PIM
Washington10,121,1,2001:52:00,115,73,3.45,2.19,61.2,1112,1047,33.3,31.4,51.5,1526,1449,45.7,43.4,51.3,2138,1935,64.1,58.0,52.5,10.34,93.03,1034,1269
Vancouver11,117,1,2056:14:00,94,72,2.74,2.1,56.6,1143,1053,33.4,30.7,52.0,1602,1414,46.7,41.3,53.1,2144,1870,62.6,54.6,53.4,8.22,93.16,1014,985
San Jose10,113,1,1929:54:00,90,68,2.8,2.11,57.0,1065,1039,33.1,32.3,50.6,1493,1442,46.4,44.8,50.9,1985,1876,61.7,58.3,51.4,8.45,93.46,1019,1195
Chicago10,112,1,2020:23:00,104,83,3.09,2.46,55.6,1186,868,35.2,25.8,57.7,1599,1151,47.5,34.2,58.1,2093,1572,62.2,46.7,57.1,8.77,90.44,992,966
Vancouver12,111,1,2052:02:00,86,74,2.51,2.16,53.8,1078,1115,31.5,32.6,49.2,1504,1442,44.0,42.2,51.0,2085,1880,61.0,55.0,52.6,7.98,93.36,1013,1049
NY Rangers12,109,1,2280:29:00,86,73,2.26,1.92,54.1,1096,1075,28.8,28.3,50.5,1504,1509,39.6,39.7,49.9,2022,2135,53.2,56.2,48.6,7.85,93.21,1011,1059
St. Louis12,109,1,2256:55:00,87,65,2.31,1.73,57.2,1211,1015,32.2,27.0,54.4,1714,1424,45.6,37.9,54.6,2252,1924,59.9,51.1,53.9,7.18,93.6,1008,1062
Pittsburgh12,108,1,1942:18:00,93,88,2.87,2.72,51.4,1135,880,35.1,27.2,56.3,1563,1261,48.3,39.0,55.4,2082,1690,64.3,52.2,55.2,8.19,90.0,982,880
Phoenix10,107,1,2082:24:00,75,67,2.16,1.93,52.8,1087,1017,31.3,29.3,51.7,1523,1472,43.9,42.4,50.8,2002,1894,57.7,54.6,51.4,6.9,93.41,1003,1362
Washington11,107,1,2168:08:00,84,78,2.32,2.16,51.8,1152,1113,31.9,30.8,50.9,1559,1548,43.1,42.8,50.2,2185,2119,60.5,58.6,50.8,7.29,92.99,1003,943
Philadelphia11,106,1,1935:48:00,105,72,3.25,2.23,59.3,1104,1010,34.2,31.3,52.2,1468,1395,45.5,43.2,51.3,1977,1929,61.3,59.8,50.6,9.51,92.87,1024,1149
Pittsburgh11,106,1,2036:20:00,87,75,2.56,2.21,53.7,1165,1022,34.3,30.1,53.3,1592,1411,46.9,41.6,53.0,2145,1892,63.2,55.7,53.1,7.47,92.66,1001,863
San Jose11,105,1,2134:14:00,85,71,2.39,2.0,54.5,1220,1058,34.3,29.7,53.6,1706,1420,48.0,39.9,54.6,2307,1943,64.9,54.6,54.3,6.97,93.29,1003,1388
Detroit11,104,1,1984:21:00,105,84,3.17,2.54,55.6,1176,1071,35.6,32.4,52.3,1637,1473,49.5,44.5,52.6,2120,1843,64.1,55.7,53.5,8.93,92.16,1011,1066
Nashville12,104,1,2061:44:00,90,82,2.62,2.39,52.3,972,1110,28.3,32.3,46.7,1328,1524,38.6,44.4,46.6,1738,2039,50.6,59.3,46.0,9.26,92.61,1019,689
New Jersey10,103,1,2095:56:00,84,71,2.4,2.03,54.2,1099,1025,31.5,29.3,51.7,1452,1374,41.6,39.3,51.4,1850,1817,53.0,52.0,50.4,7.64,93.07,1007,710
Vancouver10,103,1,1752:07:00,85,67,2.91,2.29,55.9,887,905,30.4,31.0,49.5,1213,1232,41.5,42.2,49.6,1621,1575,55.5,53.9,50.7,9.58,92.6,1022,1091
Boston11,103,1,2048:28:00,98,70,2.87,2.05,58.3,1163,1147,34.1,33.6,50.3,1567,1522,45.9,44.6,50.7,2141,2049,62.7,60.0,51.1,8.43,93.9,1023,930
Tampa Bay11,103,1,1899:25:00,91,71,2.87,2.24,56.2,1065,897,33.6,28.3,54.3,1454,1253,45.9,39.6,53.7,1903,1740,60.1,55.0,52.2,8.54,92.08,1006,1225
Philadelphia12,103,1,1908:03:00,90,82,2.83,2.58,52.3,1053,943,33.1,29.7,52.8,1421,1338,44.7,42.1,51.5,1938,1804,60.9,56.7,51.8,8.55,91.3,998,1318
Detroit10,102,1,2064:18:00,79,90,2.3,2.62,46.8,1191,1077,34.6,31.3,52.5,1619,1445,47.1,42.0,52.8,2116,1846,61.5,53.7,53.4,6.63,91.64,983,963
Boston12,102,1,2138:08:00,91,93,2.55,2.61,49.5,1181,1128,33.1,31.7,51.1,1662,1521,46.6,42.7,52.2,2243,1994,62.9,56.0,52.9,7.71,91.76,995,1103
Detroit12,102,1,2002:10:00,88,72,2.64,2.16,55.0,1091,915,32.7,27.4,54.4,1517,1259,45.5,37.7,54.6,2011,1675,60.3,50.2,54.6,8.07,92.13,1002,699
New Jersey12,102,1,2245:54:00,67,82,1.79,2.19,45.0,1069,1044,28.6,27.9,50.6,1439,1385,38.4,37.0,51.0,1880,1820,50.2,48.6,50.8,6.27,92.15,984,944
Los Angeles10,101,1,2146:05:00,78,68,2.18,1.9,53.4,1024,995,28.6,27.8,50.7,1483,1437,41.5,40.2,50.8,1916,1893,53.6,52.9,50.3,7.62,93.17,1008,977
Pittsburgh10,101,1,2003:17:00,101,87,3.02,2.61,53.7,1177,982,35.3,29.4,54.5,1627,1403,48.7,42.0,53.7,2142,1908,64.2,57.1,52.9,8.58,91.14,997,925
Chicago12,101,1,2013:54:00,98,92,2.92,2.74,51.6,1143,1023,34.1,30.5,52.8,1549,1375,46.1,41.0,53.0,2067,1797,61.6,53.5,53.5,8.57,91.01,996,848
Buffalo10,100,1,2011:04:00,75,86,2.24,2.57,46.6,1083,1065,32.3,31.8,50.4,1462,1475,43.6,44.0,49.8,1916,1906,57.2,56.9,50.1,6.93,91.92,988,953
Nashville10,100,1,2293:29:00,93,84,2.43,2.2,52.5,1200,1127,31.4,29.5,51.6,1667,1551,43.6,40.6,51.8,2195,2025,57.4,53.0,52.0,7.75,92.55,1003,936
Anaheim11,99,2,2046:20:00,89,88,2.61,2.58,50.3,992,1153,29.1,33.8,46.2,1376,1658,40.3,48.6,45.4,1746,2215,51.2,64.9,44.1,8.97,92.37,1013,1178
Nashville11,99,2,2162:34:00,93,67,2.58,1.86,58.1,1158,1106,32.1,30.7,51.1,1562,1513,43.3,42.0,50.8,2082,1957,57.8,54.3,51.5,8.03,93.94,1020,1097
Phoenix11,99,2,2079:44:00,86,74,2.48,2.13,53.8,1148,1137,33.1,32.8,50.2,1606,1635,46.3,47.2,49.5,2124,2094,61.3,60.4,50.4,7.49,93.49,1010,1119
Los Angeles11,98,2,2240:45:00,93,86,2.49,2.3,52.0,1097,1094,29.4,29.3,50.1,1593,1551,42.7,41.5,50.7,2165,2035,58.0,54.5,51.5,8.48,92.14,1006,716
Chicago11,97,2,2222:15:00,95,81,2.56,2.19,54.0,1311,1072,35.4,28.9,55.0,1762,1439,47.6,38.9,55.0,2341,1953,63.2,52.7,54.5,7.25,92.44,997,835
Phoenix12,97,2,2097:03:00,91,89,2.6,2.55,50.6,1107,1158,31.7,33.1,48.9,1572,1642,45.0,47.0,48.9,2081,2137,59.5,61.1,49.3,8.22,92.31,1005,757
Buffalo11,96,2,2133:30:00,98,87,2.76,2.45,53.0,1230,1119,34.6,31.5,52.4,1621,1561,45.6,43.9,50.9,2124,2079,59.7,58.5,50.5,7.97,92.23,1002,1115
Montreal11,96,2,1899:37:00,83,79,2.62,2.5,51.2,1078,1042,34.0,32.9,50.8,1461,1402,46.1,44.3,51.0,1976,1942,62.4,61.3,50.4,7.7,92.42,1001,983
San Jose12,96,2,2256:07:00,86,87,2.29,2.31,49.7,1228,1128,32.7,30.0,52.1,1700,1579,45.2,42.0,51.8,2283,2217,60.7,59.0,50.7,7.0,92.29,993,785
Columbus10,95,2,2151:00:00,83,97,2.32,2.71,46.1,1054,1127,29.4,31.4,48.3,1380,1515,38.5,42.3,47.7,1802,1957,50.3,54.6,47.9,7.87,91.39,993,1027
Dallas11,95,2,2053:18:00,75,79,2.19,2.31,48.7,924,1088,27.0,31.8,45.9,1372,1510,40.1,44.1,47.6,1854,2027,54.2,59.2,47.8,8.12,92.74,1009,1113
Los Angeles12,95,2,2188:39:00,79,64,2.17,1.75,55.2,1204,994,33.0,27.2,54.8,1691,1440,46.4,39.5,54.0,2307,1872,63.2,51.3,55.2,6.56,93.56,1001,923
Ottawa10,94,2,2057:31:00,88,91,2.57,2.65,49.2,1092,951,31.8,27.7,53.4,1462,1314,42.6,38.3,52.7,1981,1809,57.8,52.8,52.3,8.06,90.43,985,1159
Calgary11,94,2,2000:43:00,79,88,2.37,2.64,47.3,1033,976,31.0,29.3,51.4,1446,1352,43.4,40.5,51.7,1956,1863,58.7,55.9,51.2,7.65,90.98,986,958
Florida12,94,2,2202:30:00,67,72,1.83,1.96,48.2,1121,1125,30.5,30.6,49.9,1555,1510,42.4,41.1,50.7,2062,2029,56.2,55.3,50.4,5.98,93.6,996,792
NY Rangers11,93,2,2144:45:00,83,89,2.32,2.49,48.3,1120,1168,31.3,32.7,48.9,1551,1561,43.4,43.7,49.8,2054,2160,57.5,60.4,48.7,7.41,92.38,998,1515
Ottawa12,92,2,2091:41:00,88,96,2.52,2.75,47.8,1163,1176,33.4,33.7,49.7,1617,1582,46.4,45.4,50.5,2190,2072,62.8,59.4,51.4,7.57,91.84,994,1145
Washington12,92,2,1948:44:00,76,77,2.34,2.37,49.7,965,1003,29.7,30.9,49.0,1352,1371,41.6,42.2,49.6,1853,1910,57.1,58.8,49.2,7.88,92.32,1002,767
Boston10,91,2,2180:25:00,68,77,1.87,2.12,46.9,1153,1080,31.7,29.7,51.6,1564,1435,43.0,39.5,52.1,2126,1891,58.5,52.0,52.9,5.9,92.87,988,1053
Carolina11,91,2,1947:51:00,81,88,2.5,2.71,47.9,1013,1164,31.2,35.9,46.5,1460,1641,45.0,50.5,47.1,2024,2140,62.3,65.9,48.6,8.0,92.44,1004,836
Calgary10,90,2,2005:00:00,79,83,2.36,2.48,48.8,1039,997,31.1,29.8,51.0,1473,1367,44.1,40.9,51.9,2006,1818,60.0,54.4,52.5,7.6,91.68,993,918
St. Louis10,90,2,2000:44:00,84,83,2.52,2.49,50.3,1061,995,31.8,29.8,51.6,1474,1371,44.2,41.1,51.8,1951,1767,58.5,53.0,52.5,7.92,91.66,996,1155
Calgary12,90,2,2130:02:00,81,73,2.28,2.06,52.6,1053,1119,29.7,31.5,48.5,1425,1546,40.1,43.5,48.0,1904,2005,53.6,56.5,48.7,7.69,93.48,1012,885
Anaheim10,89,2,1969:30:00,85,75,2.59,2.28,53.1,1011,1081,30.8,32.9,48.3,1369,1521,41.7,46.3,47.4,1772,1917,54.0,58.4,48.0,8.41,93.06,1015,1321
Buffalo12,89,2,2115:27:00,87,73,2.47,2.07,54.4,1090,1149,30.9,32.6,48.7,1472,1592,41.8,45.2,48.0,1996,2098,56.6,59.5,48.8,7.98,93.65,1016,904
Dallas12,89,2,2062:39:00,76,87,2.21,2.53,46.6,1059,1113,30.8,32.4,48.8,1529,1533,44.5,44.6,49.9,2062,2095,60.0,60.9,49.6,7.18,92.18,994,1032
Dallas10,88,2,2051:31:00,82,86,2.4,2.52,48.8,1069,1141,31.3,33.4,48.4,1479,1590,43.3,46.5,48.2,1921,2105,56.2,61.6,47.7,7.67,92.46,1001,1086
Montreal10,88,2,2089:12:00,79,88,2.27,2.53,47.3,950,1166,27.3,33.5,44.9,1360,1602,39.1,46.0,45.9,1898,2193,54.5,63.0,46.4,8.32,92.45,1008,924
Philadelphia10,88,2,1875:03:00,74,79,2.37,2.53,48.4,1015,984,32.5,31.5,50.8,1409,1361,45.1,43.6,50.9,1878,1873,60.1,59.9,50.1,7.29,91.97,993,1141
Columbus12,88,2,1940:25:00,74,87,2.29,2.69,46.0,947,1085,29.3,33.5,46.6,1273,1425,39.4,44.1,47.2,1668,1888,51.6,58.4,46.9,7.81,91.98,998,1037
NY Rangers10,87,3,2007:11:00,83,79,2.48,2.36,51.2,1062,1072,31.7,32.0,49.8,1475,1492,44.1,44.6,49.7,1982,2013,59.2,60.2,49.6,7.82,92.63,1004,950
St. Louis11,87,3,2172:50:00,87,99,2.4,2.73,46.8,1137,1057,31.4,29.2,51.8,1622,1482,44.8,40.9,52.3,2145,1966,59.2,54.3,52.2,7.65,90.63,983,931
Minnesota11,86,3,1895:45:00,70,88,2.22,2.79,44.3,815,1070,25.8,33.9,43.2,1138,1502,36.0,47.5,43.1,1565,1970,49.5,62.4,44.3,8.59,91.78,1004,962
Toronto11,85,3,1974:27:00,91,84,2.77,2.55,52.0,972,1109,29.5,33.7,46.7,1383,1596,42.0,48.5,46.4,1969,2175,59.8,66.1,47.5,9.36,92.43,1018,905
Minnesota10,84,3,1967:23:00,67,91,2.04,2.78,42.4,887,1050,27.1,32.0,45.8,1264,1441,38.5,43.9,46.7,1682,1940,51.3,59.2,46.4,7.55,91.33,989,979
Tampa Bay12,84,3,1967:41:00,92,103,2.81,3.14,47.2,969,1013,29.5,30.9,48.9,1311,1409,40.0,43.0,48.2,1748,1972,53.3,60.1,47.0,9.49,89.83,993,865
Winnipeg12,84,3,2102:22:00,91,89,2.6,2.54,50.6,1105,1075,31.5,30.7,50.7,1595,1505,45.5,43.0,51.4,2103,2037,60.0,58.1,50.8,8.24,91.72,1000,905
Winnipeg10,83,3,1874:55:00,79,91,2.53,2.91,46.5,1015,1052,32.5,33.7,49.1,1340,1371,42.9,43.9,49.4,1804,1777,57.7,56.9,50.4,7.78,91.35,991,940
Carolina12,82,3,2219:04:00,84,86,2.27,2.33,49.4,1116,1245,30.2,33.7,47.3,1577,1735,42.6,46.9,47.6,2149,2332,58.1,63.1,48.0,7.53,93.09,1006,763
Colorado11,81,3,2001:33:00,71,101,2.13,3.03,41.3,1000,1126,30.0,33.8,47.0,1376,1557,41.2,46.7,46.9,1782,2090,53.4,62.7,46.0,7.1,91.03,981,742
New Jersey11,81,3,2055:08:00,72,80,2.1,2.34,47.4,1017,924,29.7,27.0,52.4,1374,1241,40.1,36.2,52.5,1775,1637,51.8,47.8,52.0,7.08,91.34,984,720
Minnesota12,81,3,2084:13:00,59,77,1.7,2.22,43.4,947,1132,27.3,32.6,45.6,1289,1631,37.1,47.0,44.1,1729,2224,49.8,64.0,43.7,6.23,93.2,994,994
Carolina10,80,3,1827:01:00,65,82,2.13,2.69,44.2,899,990,29.5,32.5,47.6,1274,1405,41.8,46.1,47.6,1718,1869,56.4,61.4,47.9,7.23,91.72,990,1143
Tampa Bay10,80,3,1883:00:00,70,84,2.23,2.68,45.5,908,1038,28.9,33.1,46.7,1248,1392,39.8,44.4,47.3,1626,1844,51.8,58.8,46.9,7.71,91.91,996,1318
Winnipeg11,80,3,2104:28:00,71,97,2.02,2.77,42.3,1152,1173,32.8,33.4,49.5,1542,1588,44.0,45.3,49.3,2028,2157,57.8,61.5,48.5,6.16,91.73,979,926
Anaheim12,80,3,2101:50:00,83,96,2.37,2.74,46.4,1002,1058,28.6,30.2,48.6,1420,1529,40.5,43.6,48.1,1915,2040,54.7,58.2,48.4,8.28,90.93,992,980
Toronto12,80,3,2005:54:00,85,90,2.54,2.69,48.6,958,1060,28.7,31.7,47.5,1349,1530,40.4,45.8,46.9,1895,2060,56.7,61.6,47.9,8.87,91.51,1004,824
Colorado10,79,3,1965:17:00,91,83,2.78,2.53,52.3,943,1090,28.8,33.3,46.4,1286,1480,39.3,45.2,46.5,1655,1965,50.5,60.0,45.7,9.65,92.39,1020,924
NY Islanders10,79,3,1914:22:00,83,77,2.6,2.41,51.9,1033,1052,32.4,33.0,49.5,1424,1448,44.6,45.4,49.6,1922,2012,60.2,63.1,48.9,8.03,92.68,1007,859
NY Islanders12,79,3,2202:50:00,81,96,2.21,2.61,45.8,1125,1110,30.6,30.2,50.3,1542,1578,42.0,43.0,49.4,2062,2237,56.2,60.9,48.0,7.2,91.35,986,763
Montreal12,78,3,1996:11:00,91,77,2.74,2.31,54.2,949,1073,28.5,32.3,46.9,1306,1487,39.3,44.7,46.8,1829,2033,55.0,61.1,47.4,9.59,92.82,1024,954
Florida10,77,3,2073:25:00,73,81,2.11,2.34,47.4,1035,1219,30.0,35.3,45.9,1425,1649,41.2,47.7,46.4,1859,2292,53.8,66.3,44.8,7.05,93.36,1004,1133
Toronto10,74,3,1950:15:00,80,86,2.46,2.65,48.2,1060,1020,32.6,31.4,51.0,1503,1424,46.2,43.8,51.3,2070,1954,63.7,60.1,51.4,7.55,91.57,991,1377
Ottawa11,74,3,2059:12:00,67,94,1.95,2.74,41.6,1018,1065,29.7,31.0,48.9,1401,1472,40.8,42.9,48.8,1910,1956,55.7,57.0,49.4,6.58,91.17,978,1074
Edmonton12,74,3,2069:34:00,73,92,2.12,2.67,44.2,1010,1089,29.3,31.6,48.1,1400,1488,40.6,43.1,48.5,1852,2054,53.7,59.5,47.4,7.23,91.55,988,942
NY Islanders11,73,3,1991:01:00,75,105,2.26,3.16,41.7,1019,1145,30.7,34.5,47.1,1397,1631,42.1,49.2,46.1,1881,2241,56.7,67.5,45.6,7.36,90.83,982,765
Florida11,72,3,2155:11:00,78,96,2.17,2.67,44.8,1151,1199,32.0,33.4,49.0,1574,1616,43.8,45.0,49.3,2101,2151,58.5,59.9,49.4,6.78,91.99,988,1270
Columbus11,68,3,2034:54:00,86,93,2.54,2.74,48.0,1075,1055,31.7,31.1,50.5,1480,1416,43.6,41.8,51.1,1975,1905,58.2,56.2,50.9,8.0,91.18,992,1077
Colorado12,65,3,2129:37:00,83,89,2.34,2.51,48.3,1157,1151,32.6,32.4,50.1,1557,1583,43.9,44.6,49.6,2123,2059,59.8,58.0,50.8,7.17,92.27,994,902
Edmonton10,62,3,1983:44:00,72,107,2.18,3.24,40.2,982,1127,29.7,34.1,46.6,1350,1614,40.8,48.8,45.6,1765,2149,53.4,65.0,45.1,7.33,90.51,978,723
Edmonton11,62,3,1894:49:00,57,93,1.8,2.94,38.0,819,1054,25.9,33.4,43.7,1146,1468,36.3,46.5,43.8,1592,1993,50.4,63.1,44.4,6.96,91.18,981,754
Oops, something went wrong.

0 comments on commit 9012b62

Please sign in to comment.